A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
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Updated
Aug 11, 2021 - Python
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
An implementation of R-GCN model detection on IEEE-Fraud Detection Dataset,
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and dynamic graph modelling, all with an interactive web interface.
Introduction of RGCNExplainer, an explainability approach for Relational Graph Convolutional Neural Networks.
A blazing-fast relation graph engine for code, config, blueprint, and script dependency resolution.
Relational Modeling for Heterogeneous Text Graphs
Backend car rental management system in Java, featuring relational database design, ER modeling, and normalization (3NF).
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